Personal profile
In Korean
말리페디 람모한 교수(IT대학 전자공학부)
Education
o (2005) B.Tech., Acharya Nagarjuna University, India
o (2007) M.Sc., Nanyang Technological University, Singapore
o (2010) Ph.D., nanyang Technological University, Singapore
o (2007) M.Sc., Nanyang Technological University, Singapore
o (2010) Ph.D., nanyang Technological University, Singapore
Professional Experience
o (2012~Present) Assistant/Associate Professor/Full Professor, Kyungpook National University, Daegu
o (2011~2012) Research Fellow, Kyungpook National University, Daegu
o (2011~2011) Research Fellow, Nanyang Technological University, Singapore
o (2010~2011) Research Associate, Nanyang Technological University, Singapore
o (2008~2009) Research Associate, Nanyang Technological University, Singapore
o (2007~2008) Project Officer, Nanyang Technological University, Singapore
o (2011~2012) Research Fellow, Kyungpook National University, Daegu
o (2011~2011) Research Fellow, Nanyang Technological University, Singapore
o (2010~2011) Research Associate, Nanyang Technological University, Singapore
o (2008~2009) Research Associate, Nanyang Technological University, Singapore
o (2007~2008) Project Officer, Nanyang Technological University, Singapore
Research Interests
Computer vision and tracking
Application-specific algorithm design and optimization for machine learning
Development/improvement of evolutionary algorithms for solving single/multi-objective,
constrained/unconstrained optimization problems
Smart Home - Non-intrusive load monitoring (NILM), Device Scheduling and Energy
Management
Smart Grid – Generation scheduling, planning and incentive design
Smart City – Machine learning for smart city applications such as safety monitoring,
disaster management.
Application-specific algorithm design and optimization for machine learning
Development/improvement of evolutionary algorithms for solving single/multi-objective,
constrained/unconstrained optimization problems
Smart Home - Non-intrusive load monitoring (NILM), Device Scheduling and Energy
Management
Smart Grid – Generation scheduling, planning and incentive design
Smart City – Machine learning for smart city applications such as safety monitoring,
disaster management.
Major Research Achievements
o Prediction-guided multi-objective reinforcement learning with corner solution search
o Covariance matrix adaptation evolution strategy based on ensemble of mutations for parking navigation and maneuver of autonomous vehicles
o Predicting early mycotoxin contamination in stored wheat using machine learning
o Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
o Covariance matrix adaptation evolution strategy based on ensemble of mutations for parking navigation and maneuver of autonomous vehicles
o Predicting early mycotoxin contamination in stored wheat using machine learning
o Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
url
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
Fingerprint
Dive into the research topics where Rammohan Mallipeddi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Actionable counterfactual explanation generation via multi-objective optimization
Adedigba, A. P., Ajani, O. S. & Mallipeddi, R., 15 Jun 2026, In: Engineering Applications of Artificial Intelligence. 174, 114355.Research output: Contribution to journal › Article › peer-review
-
Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles
Omodaratan, B., Jamali, A., Wiley, T., Al-Saadi, Z., Mallipeddi, R., Asadi, E., Asadi, H., Sadeghian, R., Sareh, S. & Khayyam, H., 15 Mar 2026, In: Engineering Applications of Artificial Intelligence. 168, 113893.Research output: Contribution to journal › Short survey › peer-review
Open Access1 Scopus citations -
An Evolutionary Algorithm With Memory Guidance for Data Transmission Scheduling Optimization in Communication Satellite Network
Ren, Y., Li, Q., Zhang, Y., Li, J., Pedrycz, W., Nagaratnam Suganthan, P., Mallipeddi, R. & Song, Y., 2026, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 56, 2, p. 1354-1368 15 p.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
A study on challenges and solutions in artificial intelligence-driven demand side optimization and security enhancement for smart grids
Yerra, C., Teeparthi, K., Ramavathu, S. N., Rao, S. N. V. B., Kumar, Y. V. P. & Mallipeddi, R., Jan 2026, In: Computers and Electrical Engineering. 129, 110779.Research output: Contribution to journal › Article › peer-review
-
Bayesian optimization of convolutional neural network for identifying red wines using colorimetric sensors
Usigbe, M. J., Santhosh, M., Park, T. & Mallipeddi, R., Feb 2026, In: Heliyon. 12, 2, e44387.Research output: Contribution to journal › Article › peer-review
Open Access